CapsGaNet: Deep Neural Network Based on Capsule and GRU for Human Activity Recognition

Author:

Sun Xiaojie1ORCID,Xu Hongji1ORCID,Dong Zheng1ORCID,Shi Leixin1ORCID,Liu Qiang1ORCID,Li Juan1ORCID,Li Tiankuo1,Fan Shidi1,Wang Yuhao1

Affiliation:

1. School of Information Science and Engineering, Shandong University, Qingdao, China

Funder

National Key Research and Development Program of China

Natural Science Foundation of Shandong Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference46 articles.

1. Videocapsulenet: A simplified network for action detection;duarte;Proc 32nd Nat Inst Physiological Sci,0

2. A capsule network for traffic speed prediction in complex road networks;chen;Proc SDF,0

3. Multiple People Activity Recognition Using MHT over DBN

4. Human Activity Recognition Model Based on Decision Tree

5. Deep Dilation on Multimodality Time Series for Human Activity Recognition

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